How can We Trust ChatGPT and AI at Present? The "How many R's in Strawberry" issue..

In a recent interaction with ChatGPT, I asked a straightforward question: "How many R's are in the word 'strawberry'?" What followed was not just a lesson in letter-counting but also an eye-opening insight into how AI generates responses. Initially (repeatedly), ChatGPT gave the wrong answer, which led me to question the reasons behind this mistake. The explanation revealed a deeper issue: the AI had relied on patterns and probabilities derived from its training data rather than directly analyzing the word itself, furthermore AI had initially told me a different explanation to that.

This behavior is a fascinating, yet slightly unsettling, characteristic of generative AI models. Rather than meticulously counting the letters in 'strawberry,' the AI seemed to infer the answer based on what "felt" most likely to be correct. When questioned, it offered an explanation that appeared plausible—a rushed counting error—but was later revised to acknowledge the pattern-based nature of its response. This raises an important point: AI does not inherently distinguish between truth and falsehood in the way humans do.

Truth vs. Patterns

Generative AI models like ChatGPT operate by identifying and generating patterns from vast datasets. They do not possess an understanding of concepts like "truth" or "lying." These are human constructs tied to intention and awareness—neither of which an AI model possesses. Instead, the AI’s goal is to produce an output that aligns with its training data and the context of the question. Whether the response is "correct" in a factual sense is secondary to whether it is plausible or contextually appropriate.

This distinction is critical. When ChatGPT produces a response, it is not "lying" if the answer is wrong; it is simply presenting the most statistically likely answer based on its training. The responsibility to verify the accuracy of the information lies with the user, not the machine. While this might seem like a limitation, it is also a reflection of the AI’s design—a tool for generating content, not an arbiter of truth.

Trust, AI, and Training Delivery

This brings us to the question of trust, particularly in contexts where factual accuracy and nuanced understanding are paramount, such as training and education. Imagine replacing an experienced human trainer with an AI to deliver a professional development course. While an AI might generate content that sounds compelling and aligns with general patterns in the subject matter, it lacks the ability to validate those patterns against real-world complexities and exceptions. For example, just as ChatGPT inferred a plausible but incorrect answer about the word 'strawberry,' it could just as easily provide misleading or incomplete explanations in a training session.

The risks become even more pronounced in fields requiring deep expertise. An experienced trainer brings not only factual knowledge but also contextual awareness, the ability to adapt to questions, and the credibility to guide learners through uncertainties. AI, by contrast, might default to generating plausible-sounding but potentially inaccurate content—and, worse, might do so with the same confident tone it uses for correct answers. In professional training, this could undermine the learner's trust in the material, dilute the quality of the education, and even perpetuate errors.

The Future of Trust in AI

Looking ahead, the issue of trust in AI becomes even more complex. As these systems evolve, their ability to generate convincing responses will undoubtedly improve. But how will we determine whether future iterations are trustworthy, especially when the stakes involve shaping the knowledge and skills of professionals? Will we develop tools and frameworks to assess their reliability, or will we continue to rely on human oversight to separate fact from fiction?

For now, it seems prudent to approach AI-generated training with caution. While AI can assist in creating supplementary materials or automating routine tasks, the role of a knowledgeable human trainer remains irreplaceable. Trusting an AI like ChatGPT to provide accurate, nuanced training content requires an understanding of its limitations. It excels at generating plausible-sounding responses but falters when precise, context-rich, and adaptable instruction is required.

A Question for the Future

Perhaps the real question is not whether we can trust AI, but how we, as humans, will adapt to a world where the line between "trust" and "usefulness" becomes increasingly blurred. For training and education, this means recognizing AI's potential while safeguarding the irreplaceable value of human expertise.

What do you think? Should trust even be part of the conversation when discussing AI, or are we applying a human-centric concept to something fundamentally different? And when it comes to training and education, is there a risk in letting AI take the lead, or is it simply a tool best used in partnership with human expertise?

The Evolving Role of Learning and Development in the UK Job Market

As we close out 2024, the UK job market is showing just how vital Learning and Development (L&D) has become. With rapid advancements in technology and shifting employee expectations, L&D is stepping into a more strategic role. Here’s a quick look at some key trends shaping the landscape:

AI is Changing the Game (and the Training)

Generative AI tools like ChatGPT are reshaping workforces, creating demand for new skills that many employees are eager to learn. However, research shows a gap in support—while nearly a quarter of employees want training in AI usage, only a fraction are getting it. Organizations are catching on, investing more heavily in AI-related learning programs to close this gap and future-proof their teams.

Learning Beyond the Paycheck

Today’s employees are looking for more than just a competitive salary. Work-life balance, flexibility, and robust learning opportunities are emerging as key factors in attracting and retaining talent. Offering upskilling and reskilling opportunities isn’t just a perk anymore—it’s a competitive advantage in a tight labor market.

High-Skill Roles are Taking the Spotlight

As automation continues to transform industries, we’re seeing a shift from operational roles to highly skilled positions. The fastest-growing areas? Think sustainability, digitization, and machine learning. This means companies need to rethink their L&D strategies to prepare employees for these in-demand fields.

Flexibility and L&D Go Hand-in-Hand

Flexibility in where and how we work is now non-negotiable for many employees. But it’s not just about offering remote or hybrid work—integrating flexible, tailored learning opportunities is just as crucial. Employees want training that fits seamlessly into their lives and helps them adapt to this ever-evolving job market.

These trends highlight a clear message: L&D isn’t just about keeping employees skilled—it’s about staying relevant in a world of constant change. For organizations, investing in the right training programs isn’t just an HR initiative; it’s a business strategy.

How is your business adapting its L&D strategy to meet the demands of 2024? Let’s discuss!

Will increased UK National Insurance contributions push companies to slash training budgets?

Setting the Scene

As businesses across the UK absorb the implications of the recent budget, rising National Insurance (NI) contributions have become a pressing concern for employers. Set to increase in the coming months, these contributions will mean higher costs per employee, creating new pressures for organisations of all sizes. While the government argues that these changes are essential to fund public services and support the economic recovery, the resulting strain on business budgets is already sparking debate.

With rising payroll costs, companies will need to reassess their spending priorities. In the process, non-essential budgets—often including training and personal development—could be placed under scrutiny. Here lies a critical question: will the increased NI costs result in cuts to employee development programs? And if so, what might the long-term effects be on both individual and organisational growth?

The Ripple Effect on Company Budgets

For many businesses, payroll is one of the most significant expenses, particularly for small and medium-sized enterprises (SMEs). As NI costs rise, the additional financial burden will force companies to re-evaluate their budgets to offset these new expenses.

Higher payroll costs mean difficult choices, and in an effort to stay lean, many companies may feel compelled to identify "flexible" budget areas to reduce or pause spending. Employee training and development programs often fall under this category because, unlike essential operating costs, they’re sometimes perceived as adjustable or even optional. Although the pandemic accelerated investment in online and hybrid learning, with many companies expanding their L&D programs, the increased financial burden from NI hikes might lead them to rethink these expenditures.

In previous economic cycles, training budgets have often been among the first to face cuts when business costs rise. Now, with NI on the rise, we might see this trend emerge again, especially in companies with tight margins or cautious financial strategies.

Impact on Job Market and Salary Increases

The consequences of the NI hike go beyond budget reallocations—they are likely to influence broader trends in the job market, including recruitment and pay rises. Many companies may slow down hiring plans, opting to freeze or limit recruitment to offset increased costs. For current employees, pay rises may also be under pressure, as organisations balance payroll against other budget lines.

This cost-balancing act may put additional strain on employee morale, especially if training budgets are cut as well. Development opportunities are not only essential for building skills but are also a key element in employee satisfaction. When companies pull back on both hiring and training, they risk reducing workforce engagement and loyalty, particularly among employees who value ongoing development.

In this environment, training programs may seem like a logical area to downsize. However, this approach could be risky: by cutting back on training, companies risk weakening their talent pipelines and ultimately reducing their organisational agility, making it more challenging to adapt in a rapidly evolving marketplace.

Why Training Budgets Are Often Cut First

When it comes to budget cuts, training and development are often seen as “flexible” expenses—expenditures that can be paused or minimised without immediate operational fallout. Unlike essential costs such as utilities or production expenses, training is sometimes perceived as a non-critical investment, especially by leaders facing pressing financial choices. This perception can lead to a view of training as a “nice-to-have” rather than a “need-to-have,” with some executives rationalising that development efforts can resume once budgets are more forgiving.

However, this approach risks undermining both the immediate and long-term health of the organisation. Cutting training programs may appear to save money in the short term, but it also reduces the workforce’s overall competence, adaptability, and satisfaction. For industries already grappling with skills gaps—like Technology, Healthcare, or Financial Services—cutting back on training can exacerbate those gaps, limiting the organisation’s ability to perform optimally and stay competitive.

Another factor is that learning and development programs, particularly formal courses and workshops, often have significant costs associated with travel, materials, or instructor fees. Under financial pressure, organisations may decide that these investments don’t directly contribute to immediate profitability. Yet this short-term view fails to account for the potential cost of employee disengagement, diminished skill levels, and the time it takes to rebuild capabilities after training has been neglected.

Consequences for Employee Development and Retention

Reducing or eliminating training budgets can have profound effects on employee development, retention, and overall engagement. Today’s workforce—especially younger employees—places a high value on learning opportunities as part of their career growth. When development programs are scaled back or cut, employees may feel that their growth potential within the organisation is stalling, potentially leading them to seek new opportunities where personal and professional growth is prioritised.

Moreover, scaling back on training can reduce an organisation’s overall resilience. In an era marked by rapid technological and industry changes, ongoing learning isn’t just a perk; it’s essential for teams to stay adaptable, innovative, and responsive. Employees who are routinely upskilled are better equipped to handle changes in their roles, integrate new technologies, and meet evolving customer demands.

Training and development also serve as a powerful tool for boosting morale and fostering a sense of belonging and value within the organisation. When employees feel that their growth is supported, they are more likely to remain engaged, loyal, and proactive. Conversely, a reduction in development opportunities can lead to higher turnover, with talented team members seeking employers who invest in their potential.

In a time where talent retention and employee satisfaction are more important than ever, organisations that maintain a commitment to training—despite rising costs—may gain a competitive advantage. While it may require innovative budgeting or finding cost-effective learning methods, the payoff in terms of productivity, morale, and adaptability can be substantial.

 Alternatives to Cutting Training Budgets

While cutting training budgets may seem like a straightforward solution to manage rising NI costs, there are alternatives that can help companies preserve employee development without compromising financial stability. One practical approach is to explore more competitively priced training suppliers who offer high-quality programs at lower rates. By assessing training providers for both cost-efficiency and comprehensive content, businesses can often find solutions that meet their needs without excessive expense.

AgilityPro, for example, is a provider that combines competitive pricing with a wide-ranging suite of Agile, Product, and Leadership training courses. With a focus on flexible delivery options and high quality training, AgilityPro is equipped to support companies in maintaining a high standard of development at an efficient price point.

Additionally, organisations might consider shifting towards alternative models, such as micro-learning modules, peer-to-peer learning sessions, and digital on-demand resources. These approaches provide targeted, cost-effective learning opportunities that can keep employees engaged and upskilled without the need for extensive budgets.

Conclusion: Balancing Immediate Costs with Long-Term Gains

As the UK business landscape adapts to rising NI contributions, companies will undoubtedly face tough budgetary decisions. However, viewing training and development purely as a “flexible” expense risks undervaluing its contribution to organisational resilience, adaptability, and employee engagement. While cutting these programs may offer short-term savings, it can ultimately erode the skills, satisfaction, and loyalty of the workforce, potentially impacting the company’s ability to compete and innovate over time.

Businesses that invest in creative, cost-effective learning solutions may find themselves better positioned to weather economic pressures without sacrificing growth. Navigating the current financial challenges will require a balanced strategy that considers both the immediate and long-term impacts on talent, agility, and organisational health.

The Future of HR and Learning Development: Trends Shaping the Workplace

In recent months, the Human Resources (HR) and Learning and Development sectors have been buzzing with transformative trends that reflect the changing landscape of work. As organizations adapt to new challenges and opportunities, it's crucial for HR professionals and L&D practitioners to stay informed about emerging practices and technologies. Here’s a closer look at some key trends shaping the future of work.

The Rise of Hybrid Work Models

The pandemic accelerated the adoption of hybrid work models, and this trend is here to stay. According to a study by McKinsey, 58% of employees have the option to work remotely at least one day a week, while 35% can work remotely full-time (McKinsey & Company, 2023). This shift is prompting HR teams to rethink engagement strategies, focusing on inclusivity and employee well-being.

Organizations are investing in technology that supports remote collaboration, enabling teams to connect and work seamlessly regardless of location. HR leaders are finding that flexibility is essential not only for productivity but also for retaining top talent in an increasingly competitive job market.

Emphasis on Employee Well-Being

Mental health has become a top priority for many organizations. The World Health Organization reported that depression and anxiety cost the global economy $1 trillion each year in lost productivity (WHO, 2023). In response, companies are enhancing their wellness programs, providing resources that support both mental and physical health.

L&D departments are increasingly integrating well-being initiatives into their training programs. For instance, MindGym has developed courses that focus on resilience and stress management, helping employees navigate challenges effectively. The integration of well-being into workplace culture is not just a trend; it’s a fundamental shift in how organizations view employee support.

The Importance of Continuous Learning

In a rapidly changing world, the need for continuous learning is more crucial than ever. The World Economic Forum predicts that by 2025, 85 million jobs may be displaced due to changes in labor division between humans and machines, while 97 million new roles may emerge (WEF, 2023). This shift emphasizes the need for upskilling and reskilling employees to meet evolving job demands.

Organizations are adopting a culture of continuous learning, encouraging employees to take ownership of their development. Platforms like LinkedIn Learning and Coursera for Business are gaining traction, offering employees access to a plethora of courses that cater to diverse interests and career paths. This investment not only enhances employee skills but also boosts engagement and retention.

Data-Driven Decision Making in HR

The use of data analytics in HR is on the rise. According to a report from Deloitte, organizations that leverage people analytics are 2.3 times more likely to outperform their competitors in terms of financial performance (Deloitte, 2023). HR professionals are increasingly relying on data to make informed decisions about talent acquisition, performance management, and employee engagement strategies.

By analyzing employee data, organizations can identify trends and areas for improvement, allowing for proactive measures that enhance workplace culture and productivity. This data-driven approach is transforming HR from a traditional administrative function into a strategic partner in driving business success.

Conclusion

The HR and L&D sectors are evolving rapidly, driven by changes in workforce expectations and technological advancements. By embracing hybrid work models, prioritizing employee well-being, fostering continuous learning, and utilizing data analytics, organizations can position themselves for success in the future of work. As these trends continue to develop, staying informed and adaptable will be key for HR and L&D professionals looking to lead their organizations forward.

References

- McKinsey & Company. (2023). [The future of work after COVID-19](https://www.mckinsey.com/featured-insights/future-of-work).

- World Health Organization. (2023). [Mental health in the workplace](https://www.who.int/news-room/fact-sheets/detail/mental-health-in-the-workplace).

- World Economic Forum. (2023). [The Future of Jobs Report](https://www.weforum.org/reports/the-future-of-jobs-report-2023).

- Deloitte. (2023). [Data-Driven HR](https://www2.deloitte.com/global/en/pages/human-capital/topics/data-driven-hr.html).

How to overcome the challenges of scaling Agile training globally - with AgilityPro

Did you know that 42% of organizations cite leadership participation and resistance to change as major barriers when scaling Agile training? Scaling Agile training globally presents a multifaceted challenge for organisations, especially for organizations seeking to implement Agile across regions with different cultures and processes. While Agile transformation is designed to be adaptable and responsive, translating that into consistent global training delivery requires more than just scaling up—it demands a thoughtful balance of global strategy, localised adaptation, and maintaining quality standards across geographies. AgilityPro has seen firsthand the issues that arise when scaling Agile training worldwide and understands that it’s crucial to address these challenges systematically to drive effective and meaningful change.

Balancing Global Consistency and Local Adaptation

How do you maintain consistency across regions while allowing for local adaptations? One of the first hurdles in scaling Agile training globally is achieving this balance. Maintaining consistent training standards while adapting to local cultural nuances is essential for global success. But consistency doesn’t just mean repeating the same content across regions; it requires delivering a unified training experience that aligns with the organisation’s global strategy and values. However, without local adaptation, this uniformity can falter. Different markets may have distinct cultural expectations, business environments, or regulatory landscapes. Customising training to accommodate these differences while retaining core Agile principles is a tightrope walk that can make or break the success of Agile adoption.

Leveraging a global training strategy that follows the 80:20 rule—80% standardised content with 20% tailored to regional specifics—helps in this regard. This balance ensures that core Agile methodologies are universally understood while allowing for the flexibility needed to address local variations, such as the preferred communication styles, leadership approaches, and feedback cultures in different regions. A crucial aspect of this customisation is not to overemphasise language or regional differences to the point where the essence of Agile becomes diluted. Instead, tailoring the delivery and real-world applications should empower teams to act with agility in their specific contexts.

Technology and Digital Learning Platforms

Another essential component of scaling Agile training is technology. Digital learning platforms, particularly Learning Management Systems (LMS), play an instrumental role in delivering a consistent learning experience at scale. These platforms allow organisations to manage, distribute, and track training content globally, better supporting remote workers. 

Additionally, the shift to digital learning helps reduce costs, eliminating the need for travel and in-person training logistics. For example, one of AgilityPro’s global clients reduced in-person training costs by 30% by supplementing remote learning experiences with their LMS system, ensuring consistent delivery across multiple regions. This enables scaling without exponentially increasing expenses. However, while technology eases delivery, it’s vital to ensure that these platforms are user-friendly and accessible across all regions. Tech infrastructure can vary widely from country to country, and ensuring that your learning platforms work efficiently on different bandwidths and devices is critical for inclusion.

AgilityPro’s approach embraces these technological advancements but remains focused on preserving the hands-on, interactive elements of Agile training. Agile isn’t just theoretical; it requires practical, experiential learning. Incorporating case studies, role plays, and real-life scenarios, even in digital formats, can ensure that learners not only grasp the concepts but can effectively apply them in their day-to-day roles.

Overcoming Cultural and Organisational Barriers

Cultural differences present one of the most nuanced challenges in scaling Agile training globally. In some regions, hierarchical cultures may conflict with Agile’s self-organizing principles, making it challenging for teams to fully embrace Agile. AgilityPro develops local Agile champions who understand both the global framework and local cultural expectations, ensuring a smoother transition to Agile methodologies.

Measuring Success and Continuous Improvement

A critical element of scaling Agile training successfully is measurement. Organisations must track the impact of their global training programs through key metrics such as employee engagement, knowledge retention, and business outcomes. Continuous feedback loops—both from learners and regional leaders—are necessary to fine-tune training initiatives and ensure that they are delivering value.

However, simply measuring completion rates or satisfaction surveys isn’t enough. AgilityPro advocates for deeper analysis, using data to track how well teams are applying Agile principles and identifying areas where additional support might be needed. Feedback from different regions can also highlight unforeseen challenges or areas where local adaptation could improve overall training efficacy.

The Road Ahead for Global Agile Training

As Agile adoption grows, scaling training globally remains a challenge. Ready to streamline your global Agile training program? Contact AgilityPro today to schedule a consultation and learn how we can help your organization achieve consistency and adaptability in every region.

Five Challenges Learning and Development Departments face in Commissioning Training

In today's fast-paced business environment, Learning and Development departments face numerous challenges when it comes to commissioning training. These challenges can significantly impact the effectiveness of training programs and the overall development of employees. Let's explore some of the key issues:

1. Budget Constraints

One of the primary challenges is budget availability. L&D departments often have limited funds to allocate for training, making it difficult to provide comprehensive programs that meet the needs of all employees. Balancing cost with quality is a constant struggle.

2. Suitability of Training Partners

Finding the right training partners is crucial. The suitability of these partners can vary widely, and selecting the wrong one can lead to ineffective training. It's essential to evaluate potential partners thoroughly to ensure they align with the organisation's goals and culture, and also have the gravitas and real-world experience to be credible with learners. You don't just want a "supplier" you have to 'manage', you want a Partner you can rely on to be honest and competent, and deliver on quality.

3. Time-Consuming Quotation Processes

The process of obtaining quotations from different training companies for each course can be incredibly time-consuming. This often involves speaking to multiple representatives within a single company for various aspects of the purchase and delivery process, leading to inefficiencies and delays. Course prices can vary wildly from provider to provider for what looks like the same thing, so how do you know which one is the right one to buy?

4. Employee Attendance

Getting employees to attend training sessions is another significant challenge. Busy schedules, lack of interest, and conflicting priorities can result in low attendance rates, undermining the effectiveness of the training programs.

5. Catering to All Performance Levels

Many training programs tend to focus on the top 10% or bottom 10% of performers within an organisation. This leaves the competent middle largely to their own devices or with generic solutions like LinkedIn Learning. It's crucial to have offerings that cater to all performance levels to ensure comprehensive development.

Introducing AgilityPro: Your Trusted Training Partner

At AgilityPro, we understand these challenges and are committed to providing solutions that address them effectively. Here's how we can help:

1. Tailored Training Solutions

We work closely with your L&D team to understand your specific needs and budget constraints. Our goal is to provide tailored training solutions that deliver maximum value without compromising on quality, and fit in with your overall vision.

2. Expert Trainers

Our group of expert trainers deliver to the highest standards. Each has a substantial depth of real-world experience in their field, as well as significant expertise in training delivery. Each one has undertaken their own learning journey to their relevant specialist training certification (e.g. CST, RST, SPCT) which typically takes several years and many hundreds of hours of work, and has spent years training since then.

3. Streamlined Quotation Process

We simplify the quotation process by acting as a proactive single point of contact who will frame up all the options you need, and can take the burden of designing and pricing training plans from you. This reduces the time and effort required to obtain quotations and manage the purchase and delivery process, allowing your team to focus on more strategic tasks. Moreover, we specifically choose to be more efficiently priced than our competitors, so you can know that you are getting value for money.

4. Boosting Employee Attendance

We can support you in scheduling, managing and promoting the training sessions in your enterprise, to maximise employee engagement and attendance. We can directly engage with your employees and work with them to make training receipt a priority, even in busy schedules.

5. Comprehensive Training Offerings

AgilityPro offers training programs that cater to all performance levels within your organisation. Whether it's the top performers, the competent middle, or those needing additional support, we have solutions that ensure everyone benefits from professional development.

Specialised Training Programmes

AgilityPro delivers a wide range of Agile and Scaled Agile Certified Training Courses as well as Leadership and Coaching certifications. Several of these courses can be white-labelled to fit into your own internal Learning programmes as required. Our courses are designed to equip your people with the skills and knowledge needed to excel in today's dynamic business environment, and our engagement methods are designed to help you in making it happen.

Building a Trusted Partnership

At AgilityPro, we don't just see ourselves as a training supplier. We aim to build a trusted partnership with your L&D team. By working together, we can advise on the best training offerings and learning pathways, support the administration of scheduling and delivering courses, and ultimately help solve your training challenges.

Why not book a 30 minute chat with us about how we can help you - click here: https://calendly.com/matt-hosking-rktl/30min

Learning & Development: combining adaptive learning programmes and in-person training.

 

In the rapidly evolving business landscape, many enterprises are adopting more agile ways of working to stay competitive. This shift, while beneficial, presents unique challenges for Learning and Development (L&D) functions. This article explores these challenges and how our training company can help navigate them.

Three main challenges:

1. Keeping Pace with Change

Agile enterprises are characterised by their ability to adapt quickly. For L&D, this means constantly updating training programs to reflect new technologies, methodologies, and business strategies. The pace of change can be overwhelming

2. Aligning Training with Agile Principles

Traditional training methods often conflict with agile principles. Agile emphasises collaboration, cross-functional teams, and iterative progress, which can be at odds with rigid, top-down training structures.

3. Measuring Impact

In an agile environment, where change is constant, measuring the impact of training programs is complex. Traditional metrics may not capture the full picture of learning effectiveness, so how can L&D demonstrate that it is adding value to both the employees and the wider business as a whole?

Let’s delve deeper into these challenges:

Rapid Technological Advancements

In the digital age, new technologies are emerging at an unprecedented rate. L&D functions must not only keep abreast of these advancements, but also develop or procure training programs to upskill employees in these new technologies. For example, the rise of artificial intelligence and machine learning has necessitated a new set of skills in the workforce.

A Cultural Shift

Agile transformation often requires a significant cultural shift within the organisation. L&D functions play a crucial role in facilitating this shift, which can involve changing mindsets, attitudes, and behaviors. This is a complex and ongoing challenge that requires a deep understanding of organisational dynamics and human behavior.

Diverse Learning Needs

In agile enterprises, teams are often cross-functional and composed of individuals with diverse skills and backgrounds. This diversity can lead to varied learning needs and preferences. L&D functions must be able to provide personalised learning experiences to cater to these diverse needs.

Remote and Distributed Teams

With the rise of remote work and distributed teams, L&D face the challenge of delivering effective training to employees who are not co-located. This requires innovative approaches to training delivery, such as virtual classrooms, online learning platforms, and digital collaboration tools.

The potential skills Gap

As organisations adopt more agile and generative ways of working, they often encounter a skills gap among their existing employees. L&D functions are tasked with identifying these gaps and developing training programs to bridge them. This requires a keen understanding of the skills needed in an agile environment and the ability to anticipate future skill requirements.

These challenges are complex and multifaceted, but they also present opportunities for L&D functions to play a strategic role in their organisation’s evolution or agile transformation. With the right strategies and approaches, L&D can turn these challenges into catalysts for learning and growth. Our training company is here to support you in this journey and we offer tailored adaptive solutions to address these challenges and help your organisation thrive in the new agile era.

Adaptive Learning Programs

Adaptive Learning Programs are designed to adjust to the learner’s needs in real-time. Here’s how they work:

1. Personalised Learning Paths

Each learner is unique, with their own set of skills, knowledge, and learning pace. Adaptive learning programs take these factors into account to create personalised learning paths. For example, a learner who is already familiar with a topic can skip ahead to more advanced content, while a beginner might need to start with the basics.

2. Real-Time Feedback

Adaptive learning programs provide very fast feedback, allowing learners to understand their mistakes and correct them on the spot. This real-time feedback mechanism helps reinforce learning and improve retention.

3. Data-Driven Insights

These programs collect data on learner performance and use it to provide insights. These insights can help identify gaps in knowledge, suggest areas for improvement, and even predict future performance.

4. Flexible Learning

Adaptive learning programs are flexible. They allow learners to learn at their own pace, potentially anytime, anywhere. This flexibility makes learning more convenient and less stressful, thereby improving the overall learning experience.

5. Signposting formal in-person training needs

Adaptive learning, with its data-driven approach, provides valuable insights into a learner’s progress, strengths, and areas of improvement. These insights can be used to identify when a learner might benefit from in-person, expert-led training. In-person led training effectively forms an intrinsic part of adaptive learning in a very synergistic way. For instance, if the adaptive learning platform identifies a consistent struggle with a particular topic or skill, it could suggest a formal training session on that topic either for an individual or for a full cohort.

Pulling it all together

Adaptive learning provides the flexibility and personalisation, while in-person led training provides the depth and interactivity. Together, they create a comprehensive learning experience that caters to the diverse needs of learners in a progressive organisation.

In-person led training clearly offers a more structured and interactive learning experience than the self-service of some adaptive learning patterns. It provides opportunities for learners to ask questions, engage in discussions, and receive immediate feedback from experts. This can be particularly beneficial for complex topics that require a deeper level of understanding, or for skills that require hands-on practice.

Adaptive learning programs with their personalised learning pathways enable both simple and structured concepts, and general information to be delivered effectively via self-learning, with empirical data gathering underneath to help measure effectiveness.

In conclusion, adaptive learning and expert-led formal training are two sides of the same coin, each bringing unique benefits to the table. Adaptive learning allows for personalised, flexible education, catering to individual learning styles and paces. It empowers learners to take ownership of their development, fostering a culture of continuous learning and improvement.

However, the importance of in-person, expert-led training cannot be overstated. These formal training courses provide a structured learning environment, where learners can benefit from the expertise and real-world experiences of industry professionals. They offer opportunities for immediate feedback, hands-on practice, and interactive discussions that are difficult to replicate in a purely digital format.

The journey towards becoming an agile enterprise is filled with challenges, particularly for Learning and Development functions. However, with AgilityPro as your partner, these challenges become opportunities for growth and learning. Our learning programs and expert-led training courses are designed to address your unique needs and help you navigate the complexities of the new agile landscape.

We invite you to experience the AgilityPro difference and see how we can empower your L&D function to thrive in our new digital world. Don’t hesitate to get in touch with us to learn more about how we can tailor our offerings to fit your needs.

The Human Touch: Why Industry experts elevate the Learning experience far beyond AI

In an age where artificial intelligence (AI) and automation are becoming increasingly prevalent in our daily lives, the value of human-led training courses cannot be overstated. While AI-driven training from Large Language Models (LLMs) offers scalability and consistency, it lacks the nuanced understanding and depth of experience that industry experts bring to the table. Here’s why training delivered by seasoned professionals is often superior to AI-based learning.

Depth of Knowledge Industry experts possess a deep knowledge of their subject matter, honed through years of hands-on experience. They’ve navigated the complexities of their field, encountered a myriad of scenarios, and learned from both successes and failures. This depth cannot be replicated by AI, which, despite its vast data, cannot contextualize information with the wisdom gained from real-world experience.

Adaptability and Personalisation Experts can adapt their teaching methods to the unique needs of their audience, providing personalised feedback and guidance. They can read the room, adjust their pace, and delve deeper into topics of interest or relevance. AI, on the other hand, follows a predetermined path and lacks the ability to tailor its approach to individual learning styles.

Networking and Mentorship Learning from industry experts opens doors to networking opportunities and mentorship. Attendees can form valuable connections that may lead to future collaborations or career advancements. AI-based training offers no such networking potential, as it lacks the human element that fosters relationship building.

Real-World Problem-Solving Experts can draw upon their extensive experience to present real-world problems and case studies, offering practical solutions that they’ve applied in their careers. This hands-on problem-solving approach is more engaging and informative for attendees, providing them with tools and strategies they can apply in their own work.

Enhanced Learning Outcomes and Active Engagement Studies in educational settings demonstrate that expert-led courses significantly boost learners’ self-efficacy and lead to superior educational outcomes. When instructors with deep industry knowledge guide the learning process, they not only impart knowledge but also instill confidence in their students. This personal investment catalyses a more profound engagement with the material, fostering an environment where active participation is encouraged. Such dynamic interaction, facilitated by the instructor’s expertise, is crucial for deep learning and retention, which AI-driven methods can not fully replicate.

Continual Learning Industry experts are often at the forefront of their field, continuously updating their knowledge to stay current with the latest trends and technologies. They can impart this cutting-edge information to attendees, ensuring that the training remains relevant and up-to-date. AI, while it can be updated, typically operates on a set database of information that may quickly become outdated.

Emotional Intelligence Finally, industry experts bring emotional intelligence to their training sessions. They can empathize with learners, offer encouragement, and provide motivation—qualities that AI simply cannot emulate. The human connection fosters a more engaging and supportive learning environment.

In closing, I do believe that AI-based training has its place, particularly for base-foundational knowledge, however the irreplaceable insights and personal touch offered by industry experts makes their training courses an essential resource for learners seeking a comprehensive and enriching educational experience.

Where am I...

So right now I'm working out how to pull my different posts and blogs together into one place. Mostly I write on LinkedIn these days, but maybe I should bring this back to life again, rather than move it : )

Still here, still Agile.

Transformation troubles and non-technical debt

Technical debt if not managed can end up becoming a critical factor dramatically slowing down future development and in some instances has lead to whole-scale system re-writes just to keep products maintainable. The flip side is that by taking that "loan" occasionally, often a quick win can be leveraged to enable a new product to be born, a market opportunity to be captured or a deal to be won.

The sad thing is that for the last several decades most corporations have been choosing those "easy solutions" in their operational space. Individual departments have bought their own software to solve their own problems whilst not really worrying about integration with other areas. Others have home grown their own processes without considering the "customer" journey (try a value stream mapping exercise in a finance department!). And many have created products and KPIs that predominantly meet internal company goals rather than external customers and market requirements.

As this has been going on, these companies have become larger. What once was a "point fix" is now scaled up to become an integral part of the organisations processes. What once was seen as "a little bit of extra admin we can live with" is now a part of an oppressive organisational culture. What once was "for now we think we know what the market needs" is now the hand on the rudder of the organisations product roadmap. Scaling anything is an effective way in seeing where all the inefficiencies lie and where the limiting factors are - just try driving 70mph on the motorway when it is full of other traffic on a Friday night.

So our organisations processes and culture are actually just like our technical code-bases, after-all a code-base is just a written version of a load of processes and behaviours. Well-maintained code is easy to understand and easy to enhance or change; and the term "well-maintained" normally means re-paying any technical debt "loans" on a regular basis.

We all live in an imperfect world though and the point that organisations come to decide they need a "Transformation" is normally because the non-technical debt (or cultural / organisational debt if you prefer) has become such that product delivery is slowed/stuck, innovation is lacking, processes are overbearing, staff are unhappy and often shareholder value is slipping as a result.

Barry O'Reilly wrote a piece about Explore vs Exploit organisations, and the above situation could also describe the "Exploit" organisations who have got towards the end of wringing their current market dry but are not able to explore new markets due to their internal culture and constraints.

So where does this take us?

Large consultancies are often brought in to help manage large Transformations and amongst them (and elsewhere) are people who will give projected financial improvements as a result of their prescribed transformation. "You will develop product this much faster/gain this many new customers, so it's worth £X million." however the 'cost' is often not really quantified. Nik Silver wrote an interesting article on the cost vs value of paying back technical debt and I think the same broad principals can be applied with organisational debt too.

Nik neatly suggests that you can model the payback point of stopping product development to fix technical debt. This is based on the velocity of product development beforehand and the "boosted" velocity afterwards as a result of the debt being paid (vs just continuing without the fix).

It's worth noting that the break even point is well after the period of activity of "solving the problem", so if we apply a similar mindset to Transformation we should not expect a net gained benefit until some time after we are done Transforming.

Of course whilst that makes perfect sense from a benefit delivery perspective in a product development domain, in the organisational domain it could be shaped a little different as the benefit over time is probably already diminishing rather than being steady (hence the need to "fix things") so it could look like this:

Also you won't find any Transformation agents telling you that you wont get any benefit during the transformation process (or you wouldn't sign up to it would you) but recognise that the overhead of "change" is going to make productivity/output/profit dip in the first instance. You can't add extra work into a system without the system responding to the work.

So in the above diagram at the point when you exit your "Transformation" you are actually potentially net benefit worse off than if you hadn't done it at all. You've borne the cost of buying in consultants, you've lost staff, you've gained new staff, you've bought new software, you've built new processes and retired old processes, you've re-furbished the office space, and you've scared the jam out of most people along the way, but the believers are still on board.

So was it worth it?

Well that is difficult to quantify as what you have actually done is payed back the "non-technical debt" in your organisation all in one go and "boosted" your future velocity as a result. You're still in business and now better prepared to take on the future, in fairness you've potentially saved the company from a steady decline and uncertain fate. Things are certainly different, that's for sure.

But was this the only option? What you have done is a full system re-write of the organisations' "code-base". Perhaps was it better to fix the "non-technical debt" little and often just like we encourage our developers to do?

Divining Business Value for Agile Projects - Value Mapping, Value Statements & Measures.

Mike Cohn once said "Product Owners are often given the vague and mostly useless advice "Prioritise on Business Value" " and he's right.

If you read a scrum guide or a paper on prioritisation, or indeed many of the learned texts on Agile, they all seem to fall into a grey area around what business value actually is. They will potentially give you reams of advice on prioritisation methods, however these can only be applied once you understand where your value lies.

In reading around this I found Emergn stating in VFQ (value, flow, quality) that you can prioritise effectively if you can measure (or estimate) Value, Cost, New knowledge and Risk. The thing is; the first two are in cash (£/$) so what if the purpose of your project is to improve customer relations or company reputation?

Thoughtworks have had a good go at this one and in a paper by Paul Ellarby which I enjoyed; it proposes the way to value measurement is to create the four elements below:

• #1 Develop your organization's “value language” 
•  #2. Understand the value-cost of each portfolio down to the feature level 
•  #3. Allocate value points across all capabilities 
• #4. Track value vs. cost for each iteration

This has some good guts behind it and the concept of "value dials" for a range of elements important to an organisation seems well thought out and helps us "find" our value. It also makes the point that those value elements may or may not map to the bottom line so helps with non-financial goals. My observation though is that this concept seemingly needs adopting at a Corporate level as a framework and then cascading down all projects or it doesn't seem to work properly. In organisations that are not in a position to transform their own governance but still need to understand value per-project/in-project there still seems to be a bit of a gap.

I then drifted in to a bit of a twilight zone and found myself thinking "well if you can measure value, then you can define value" - and an Agile colleague introduced me to the book "How to Measure Anything - finding the value of intangibles in business" by Hubbard. I managed three chapters of this book, and the anecdotes about how you can measure complex things with simple means was pleasant enough. Apparently you can estimate the scale of an atomic bomb blast by scattering confetti into the resultant wind, and seemingly you can estimate the number of piano tuners in Chicago with relative ease.

What this book didn't really do for me though was unlock the challenge of finding what is valuable versus what isn't, and therefore I was back to square one again. Through conversations with more Agile colleagues I now have a quick recipe (credit to Nik Silver & Laurence Wood):

1. Run a Value Mapping workshop with stakeholders (real ones) using a wall like this:

• Use post-its to capture things that feel relevant or valuable to the project or outcome, and categorise them above - you may end up with the same items in both swimlanes but in different categories (duplicate post-its as appropriate).
• Discuss the conflicts and shared values across the canvas.
• Create a very small group (sub-set) of the post-its that represent what is truly important/valuable (in theory this will only come from the left-hand side)
• Agree that the remaining post-its are not truly important and therefore should not form the a value statement for the project/outcome or bias any later prioritisation.
• Photograph both of the above!

2. With the stakeholders above, write a single value statement for the project/outcome.

• A value statement is a very brief description of why something is being done. It should contain some visible business value, this can be financial or non-financial. It is very helpful if this is described as an outcome.
• TIP: Try writing a value statement as a User Story and see what "So That" says.

3. Agree a Value Measure for the Value Statement.

• A value measure describes some tangible way of detecting a change. It can be financial, emotional, or physical/environmental. It could be a bank balance increase, or simply the number of smiling people in the office - yes it can be that random.
• TIP: Write your "user story" Value Statement, then add line 4 “As measured by:” ..your Value Measure

Do not worry about the mechanism or feasibility of how to actually measure it.

If all has gone well, then you now have a clear definition of what is valuable to the activity/project/outcome being considered, and you have an idea as to what could be a measure of it (not how to measure it). As Hubbard suggests; anything that affects any type of change whatsoever can be measured (even things like love, happiness, and reputation), otherwise it did not affect a change.

You should now have a "thing" which you can publish and measure against; "Are we working towards our value statement" "Does this activity contribute to our value" and more pertinently when it comes to prioritisation; simply "Which of these two do we think will contribute the most to our value".

Whilst it may seem silly; a conversation about whether a hundred balloons or a massive cake would bring the most happiness to an office (as measured by smiles) can usually divine an answer one way or another. You can use this "either-or / hotter-colder" test to a whole backlog and you don't ever have to actually count the people smiling. :)

A Futurespective Method Technique

So I've not invented this or anything - there are a lot of techniques out there for Futurespectives and I've taken this one from "Funretrospectives" (thank you!) and tweaked it a bit - so this is my edited version.

Find the Future

This is a great team building activity that focus on creating a common goal.

Running the activity:

What is our Bright Future?

It is very interesting to see how this simple question gets the participants very engaged, and then aligned. This activity is a great first step towards preparing the path for going Back to the Future.

1. Write the words Bright Future on the top right corner of the canvas.
2. Break the team into smaller groups of 3 or four people each (if needed)
3. Ask each group to write a short sentence to describe the bright future at a set time distance forward (e.g. 1yr, 2yrs or 3yrs)
4. Each group presents their short sentence describing the bright future
5. Create one common sentence defining the bright future (maybe use a group of sentences if there are different stakeholder groups in the session)

Back to the Future

This is a follow on activity from the one above.

1. Draw a timeline on the canvas back from the bright future to today having the word today on the left most side.
2. Write down major events or time periods on the timeline relevant to the company/project (e.g. Christmas holidays, Fin. Year end’s etc)
3. Ask the participants to write post-it notes for the steps and activities towards the path to the bright Future (basically break it down) and stick them on the right-hand side under the Bright Future
4. Ask the participants to move the post-it notes around (to the left) to form up the path to the Bright Future. Encourage a lot of discussion and different people to be moving post-its around.
5. Run a group conversation on the path that has been formed – drive this to capture action items onto the path (stick them up on the timeline with post-its - use a different post-it colour)

Result.

There should be a road-map of sorts on the wall – constraints will have been discussed throughout, as those tend to surface as soon as you say, “why can’t we do this today?”
You should have some actions from the session.
You should have people a lot more focussed on where they are going and why.

So what is a Coach and what is a Trainer?

There are many people currently discussing the difference in the roles in the Agile world - indeed only this week I read a post suggesting that a Scrum Master was also an Agile Coach (why not eh!). Within that conversation were a range of nuances between what makes someone an Agile Trainer rather than a Coach. As someone who does a bit of both of those I have given this a level of thought.

Personally I think a lot has to do with the mindset of the individuals involved and what their personality traits are. A Trainer will typically be in the glare of a projector in front of a group of willing (or conscripted) attendees who are keen to learn something (or add a tick on their PDP). A Coach on the other hand will often be found sat at the back of a room and observing what is going on, then quietly adding course corrections or advice as things progress through a workshop or session.

To me, these are different skill-sets and therefore there is a distinction between the roles; however whilst looking for a more firm and empirical answer I found an old blog post by Pierluigi Pugliese which hit the nail on the head for me.

He identifies that a Coach is responsible for controlling a process without necessarily adding any new information. The Coach should be able to ask the right questions and make sure the recipient team is moving in the right direction toward their own objective. The recipient team is normally providing all the content themselves. The more the Coach keeps the process moving along and resists him or herself from providing content in the discussion, the more effective they will be.

Why I really like this concept is that it clearly distinguishes Coaching from Training. In Training the goal is specifically to provide content to an audience who need new knowledge.

To quote Pierluigi directly:

"A Coach, content-free, opening new options and solving the blocks the Client (be it an individual or a team) has. This means driving the Client through a discovering process where she will find new options to deal with old problems."

"A Trainer, explaining the content of the various methods ... The silent assumption here is the Client is less knowledgeable in what she is being trained in and she will have to re-elaborate the material through a practical experience."

This means that ultimately "what is a Coach and what is a Trainer" is basically just the wrong question. There are simply a couple of different requirements: people needing Coaching and people needing Training.

These certainly could be fulfilled by the same person who has the requisite skills; or indeed by different people who prefer just providing one of the "ing's" and not the other.

Actually once this differentiation is made, you may find you are Coaching on one daily conversation and Training in the next!

Do more Less - in fact do much more Less

In my last assignment I found myself in a company in denial. After two years on their agile journey they thought they were making progress, they weren't.

Despite being given some basis agile/scrum training (the classic 2 day course) two years prior, there had been no-one to mentor in the behaviours and best practice that actually make Agile work. TFS has been implemented and deemed to be "Agile" so therefore job done eh!?

This meant that Agile was not actually in existence. The Business were not engaged, stories were not being written well (actually most were awful), there was no pairing or Agile best practice in development and there was a massive silo culture of Development and then Test. This "wall" between them meant that each item being delivered simply followed a waterfall design/build/test process within an arbitrary wrapper called a "Sprint".

The really sad thing was that no-one was happy. Developers were stuck in big tasks (20-plus point stories being played) and over-engineering what needed to be done. Testers were building out test plans to give as much coverage and risk reduction as they could to the work and would only see the app after Dev had finished it and moved it to another environment for testing. Also the Business was not releasing anything at all and had basically seized up.

One thing that immediately struck me was that apart from the complete breakdown of scrum, there was way too much being done. Lean principals in software development and testing had not emerged anywhere and there was a BDUF mentality. Developers were waiting on Architects to "design" what they needed to implement and Testers were waiting on Developers to build this design. This lead to over-architecture, too much development (lets fix/replace this at the same time) and then Testers were building massive test catalogues to attempt to give coverage across everything that was being built or refactored.

What did this mean?
Q: "How long to change this single report template?"
A:"A week to build and two weeks to test"

I heard testing estimates of up to three months being given for what were very straightforward changes, often driven by the fear factor (unfounded!) that the whole platform would break if someone waved a keyboard near it so the whole thing would need manual regression testing.

I needed to fix this and I coined the phrase "Do more Less.." (e.g. Do more Less Testing) and set about unpicking the pervading culture and concerns that it was all too difficult, and that everything would go wrong if absolutely everything wasn't risk tested surrounding every user story.

I got the product owner re-engaged, got the user stories back to a small "proper" size and format, then encouraged the testers to create small simple tests that only covered the contents of each user story (this immediately sowed the seeds for some TDD too). Once we were in this position I then encouraged (well, bullied) the testers to work with the developers and begin testing in the Dev environments as soon as the code was being crafted, rather than waiting to see it on another environment once finished.

Guess what, everything started to speed up. Testers were spotting errors within minutes of them being coded or spotting ambiguities in the requirements which analysts could iron out; Developers were focusing much more on the smaller stories and not getting bogged down in wide-ranging architectural change; the product owner suddenly had tangible things to see at show and tells (which had fallen by the wayside a long time prior) and "Agile" practices began to emerge.

Coming back to the point of the post though; in getting the teams to work on much smaller things, and do the minimum needed to deliver them and assure their quality (rather than worry about everything around it), they were doing less work per story ...a lot less. This in turn enabled everyone to do a lot more of Less work which in turn meant productivity went up, the team literally was delivering three times faster and everyone was suddenly a lot more cheerful about Agile!

Do more Less  ..much more of Less. :-)

Tools don't make you Agile

So this is my mug from a recent assignment. We were all issued one within the Capability Team but it was supposed to remind us all that when we'd finished all our stand-ups, facilitation workshops and face to face interactions, that at the end of the day we needed to update our supporting toolset.



Keep calm and update Rally

The challenge with adopting Agile is that you need to learn new agile values, and its not easy. Giving developers or technologists the choice of interacting with business people or playing about with a new toolset there is often a sway towards tools and insular practices.

In Agile, its all about the people interactions and conversations that make you more Agile, and you can get the most of them happening when you have an agile wall / 'radiator board'.  These walls tell their own story about the status of any project and will attract any interested parties like moths to a light bulb. If this board is in a collaborative space it will encourage the business and technology to openly engage with it and with each other.  The six conversations* you're going to have about each user story are easily enacted in this space with physical media (cards and pens) rather than a screen.

If you use desktop tools you promote people to look at their own screens rather than each other. I call desktop tools 'fridge's' as you've got to open them to see what's inside, unlike your Agile wall that is always radiating information. The human brain can happily manage about 150 items in view and in context on a wall, so only got for a supporting toolset if you're way over this amount, or you have specific geographical challenges you can't overcome with other means.

Any organisation that thinks rolling out Rally, Jira or whatever to their tech department is suddenly going to turn them Agile is starting off in the wrong direction.  Toolsets can help make your processes more efficient, but they don't make you "Agile".

*A user story is a placeholder for a conversation, one that will take place about six different times before the story gets played into a scrum team.